Data & Information Strategy Architect (SC Cleared)
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Job Title: Data & Information Strategy Architect (SC Cleared)
Contract: Outside IR35
Contract Length: 1 Month
Location: Southeast England (3 Office Days Per Week, Minimum)
Security Clearance: SC (Must Be Active & Unelapsed)
Industry: Government
Interview Process: MS Teams, 1 Stage
We are supporting a high-profile, strategy-led engagement within a secure public sector environment, focused on shaping the future of data architecture and information management.
This role requires a senior Data & Information Strategy Architect to lead a discovery and advisory phase, defining how ontology-driven approaches can be embedded within a wider enterprise architecture.
The successful candidate will operate at a strategic level, working closely with senior stakeholders to assess current capabilities, define a target-state architecture, and articulate the long-term value of semantic data frameworks.
Key Responsibilities
- Lead the assessment of the current data and information landscape, including data models, integration patterns and metadata management
- Define a target-state information architecture, positioning ontology and semantic models as the foundation for interoperability and data reuse
- Develop a technology strategy for ontology adoption, evaluating tooling such as graph databases, triple stores and knowledge platforms
- Provide strategic guidance to senior stakeholders, translating complex architectural concepts into clear business outcomes
- Assess and recommend appropriate ontology standards and frameworks (e.g. OWL, RDF, SKOS) aligned to organisational needs
- Establish architectural governance and principles, ensuring outputs are aligned to a coherent long-term strategy
Essential Skills
- SC Clearance (already in place)
- Strong experience in enterprise architecture, information architecture or technology strategy, particularly within data-centric environments
- Demonstrable expertise in ontology and semantic technologies, including frameworks such as OWL, RDF/RDFS and SKOS
- Experience working within secure or regulated environments (e.g. Defence, National Security etc.)
- Strong understanding of knowledge graph and graph database technologies (e.g. Neo4j, Apache Jena, Stardog, Amazon Neptune)
- Ability to define and communicate architectural strategy, translating technical concepts into clear, business-focused narratives
- Proven experience engaging with senior stakeholders and decision-makers within complex organisations
Desirable Skills
- Experience working on data strategy or ontology adoption initiatives within large-scale enterprises
- Familiarity with cross-domain data sharing and interoperability challenges
- Exposure to AI or advanced analytics use cases supported by semantic data frameworks